(Summary generated by AI based on the full job description)
The project focuses on AI infrastructure and MLOps in the financial sector, emphasizing automation of ML lifecycle and building scalable data pipelines. Key technologies include Python, Docker, Kubernetes, CI/CD tools (Jenkins, GitLab CI/CD), cloud platforms AWS, Azure, GCP, and model monitoring tools like MLflow, Prometheus, Grafana. Responsibilities cover designing and maintaining CI/CD pipelines, managing cloud infrastructure, automating deployment, monitoring and optimizing AI systems in production, plus documentation and security support.

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